A comprehensive non-invasive framework for diagnosing prostate cancer

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• 作者：Islam Reda^a ; ^b ; Ahmed Shalaby^b ; Mohammed Elmogy^a ; ^b ; Ahmed Abou Elfotouh^a ; Fahmi Khalifa^b ; ^c ; Mohamed Abou El-Ghar^d ; Ehsan Hosseini-Asl^e ; Georgy Gimel'farb^f ; Naoufel Werghi^g ; Ayman El-Baz^b ; ^{aselba01@louisville.edu}
• 关键词：Prostate cancer ; DW-MRI ; NMF ; MGRF ; CAD
• 刊名：Computers in Biology and Medicine
• 出版年：2017
• 出版时间：1 February 2017
• 年：2017
• 卷：81
• 期：Complete
• 页码：148-158
• 全文大小：1477 K
• 卷排序：81

文摘

The system extracts discriminative features to segment the prostate. NMF fuses image intensities, probabilistic shape prior, and spatial dependences. Segmented prostates are described with the integral statistics (CDFs of the ADCs). Benign or malignant cases are detected with the trained deep SNCAE classifier.